Distribution Plots

Distribution plots are good to use:

When you want to know the center and the spread about your values.
When you might want to investigate extreme values
When you want to study the distribution or pattern of the data values.

Basic Distribution Plot

import plotly.figure_factory as ff #Take note thet we are using figure_factory instead of graphic objects
import plotly.graph_objects as go
import numpy as np
from plotly.offline import init_notebook_mode, plot
from IPython.core.display import display, HTML
init_notebook_mode(connected=True)

x = np.random.randn(1000) #create random dataset
hist_data = [x]
group_labels = ['distplot'] 

fig = ff.create_distplot(hist_data, group_labels)

plot(fig, filename = 'figure8-8-1.html')
display(HTML('figure8-8-1.html'))

Multi-Distribution Plot

# Add histogram data
x1 = np.random.randn(200)-2
x2 = np.random.randn(200)
x3 = np.random.randn(200)+2
x4 = np.random.randn(200)+4

# Group data together
hist_data = [x1, x2, x3, x4]

group_labels = ['Group 1', 'Group 2', 'Group 3', 'Group 4']

fig = ff.create_distplot(hist_data, group_labels, bin_size=[.1, .25, .5, 1]) #Note that we are setting bins sizes for each group

plot(fig, filename = 'figure8-8-2.html')
display(HTML('figure8-8-2.html'))

Line Distribution Plot

x1 = np.random.randn(200) - 1
x2 = np.random.randn(200)
x3 = np.random.randn(200) + 1

hist_data = [x1, x2, x3]

group_labels = ['Group 1', 'Group 2', 'Group 3']
colors = ['#333F44', '#37AA9C', '#94F3E4']

fig = ff.create_distplot(hist_data, group_labels, show_hist=False, #set show_hist to false to have only the line
                         curve_type='normal', colors=colors) #Curve type normal makes a normal distribution

# Add title
fig.update_layout(title_text='Curve and Rug Plot')

plot(fig, filename = 'figure8-8-3.html')
display(HTML('figure8-8-3.html'))

Box Distribution Plot

#Same as above but with bars

# Create distplot with curve_type set to 'normal'
fig = ff.create_distplot(hist_data, group_labels, colors=colors, bin_size=.25, curve_type='normal',
                         show_curve=False)

# Add title
fig.update_layout(title_text='Hist and Rug Plot')

plot(fig, filename = 'figure8-8-4.html')
display(HTML('figure8-8-4.html'))